Time interval maximum entropy based event indexing in soccer video

Authors:
C. G. M. Snoek;M. Worring
Affiliations:
Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands;Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Year:
2003

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Abstract

Multimodal indexing of events in video documents poses problems with respect to representation, inclusion of contextual information, and synchronization of the heterogeneous information sources involved. In this paper, we present the time interval maximum entropy (TIME) framework that tackles aforementioned problems. To demonstrate the viability of TIME for event classification in multimodal video, an evaluation was performed on the domain of soccer broadcasts. It was found that by applying TIME, the amount of video a user has to watch in order to see almost all highlights is reduced considerably.